maker_next_suggestion

THE RISK

Low Risk

Why maker_next_suggestion needs a policy

This tool queries project memory/history to generate a suggestion, which is a retrieval operation. It has no capability to create, modify, delete, or execute external operations. The severity is low because even if misused, it only returns suggestions and cannot cause data loss, unwanted modifications, or external operations. High confidence due to clear descriptive language indicating read-only behavior.

From the tool's definition Tool 'returns a suggested next activity based on recent progress' — a read-only query that retrieves or derives data from project state without modifying anything.

Documented attack patterns abuse exactly the kind of access maker_next_suggestion gives an agent:

POLICY

How to control maker_next_suggestion

PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for maker_next_suggestion:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "maker_next_suggestion": {}
  }
}

maker_next_suggestion is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Crow — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
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FAQ

Questions about maker_next_suggestion

What does the maker_next_suggestion tool do? +

Return a suggested next activity based on recent progress. No-op with a friendly canned reply for guest sessions. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on maker_next_suggestion? +

Register the Crow MCP server in PolicyLayer and add a rule for maker_next_suggestion: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Crow. Nothing to install.

What risk level is maker_next_suggestion? +

maker_next_suggestion is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit maker_next_suggestion? +

Yes. Add a rate_limit block to the maker_next_suggestion rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block maker_next_suggestion completely? +

Set action: deny in the PolicyLayer policy for maker_next_suggestion. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides maker_next_suggestion? +

maker_next_suggestion is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →